/*
 * Tencent is pleased to support the open source community by making Angel available.
 *
 * Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in
 * compliance with the License. You may obtain a copy of the License at
 *
 * https://opensource.org/licenses/Apache-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 *
 */


package com.tencent.angel.spark.ml.util

import org.apache.spark.SparkConf

object SparkUtils {

  def getNumExecutors(conf: SparkConf): Int = {
    if (conf.getBoolean("spark.dynamicAllocation.enabled", false))
      conf.getInt("spark.dynamicAllocation.maxExecutors", 10)
    else
      conf.getInt("spark.executor.instances", 10)
  }

  def getNumCores(conf: SparkConf): Int = {
    val numExecutors = getNumExecutors(conf)
    val coresForExecutor = conf.getInt("spark.executor.cores", 1)
    numExecutors * coresForExecutor
  }
}